Households’ Food Insecurity in the V4 Countries: Microeconometric Analysis by Hanna Dudek

“…In the empirical analysis based on the data from the European Union Statistics on Income and Living Conditions Survey, logit models with country dummy variables are applied. …”
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CLUSTERING ANALYSIS FOR GROUPING SUB-DISTRICTS IN BOJONEGORO DISTRICT WITH THE K-MEANS METHOD WITH A VARIETY OF APPROACHES by Denny Nurdiansyah, Mochamad Nizar Palefi Ma'ady, Yuana Sukmawaty, Muchammad Chandra Cahyo Utomo, Tia Mutiani

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Parasitaemia and fever in uncomplicated Plasmodium vivax malaria: A systematic review and individual patient data meta-analysis. by Emily S Groves, Julie A Simpson, Peta Edler, André Daher, Ayodhia P Pasaribu, Dhelio B Pereira, Kavitha Saravu, Lorenz von Seidlein, Megha Rajasekhar, Ric N Price, Robert J Commons, WorldWide Antimalarial Resistance Network (WWARN) P. vivax Fever Study Group

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Design and Application of a Digital System for Information Management and Synchronous Analysis in a Foundation Pit Group by Zheng-Liang Xu, Xiong Wang, Ming-Guang Li, Zhong-Jie Zhang, Fan-Yun Zeng, Jin-Jian Chen

“…In this study, a digital system is developed to manage the construction information and monitoring data of the foundation pit group. …”
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575 Team science training needs and preferences for clinical research professionals: A focus group analysis by Jessica Fritter, Bernadette Capili, Jackie Knapke, Shirley Helm, Elizabeth Kopras, Jill McCabe, Meredith Fitz-Gerald, Mendell, Carolynn T. Jones

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Maternal immunisation against Group B Streptococcus: A global analysis of health impact and cost-effectiveness. by Simon R Procter, Bronner P Gonçalves, Proma Paul, Jaya Chandna, Farah Seedat, Artemis Koukounari, Raymond Hutubessy, Caroline Trotter, Joy E Lawn, Mark Jit

“…The main limitation of our analysis was the scarcity of data to inform some of the model parameters such as those governing health-related quality of life and long-term costs from disability, and how these parameters may vary across country contexts.…”
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Harmonising progress: assessing the impact of economic freedom, economic growth, urbanisation and environmental protection expenditures on load capacity in selected European Union... by Esra Guney, Yasin Sogut, Nazli Demirtas, Yakup Koseoglu, Cahit Sanver

“…The main motivation is the need for sustainable policies that reduce environmental degradation while promoting economic development. The analysis is conducted with empirical methods such as common correlated effects and augmented mean group using panel data from 24 European Union Countries. …”
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Le dispositif dynamique à 3 pôles comme processus de professionnalisation : l’exemple d’un Groupe de Rencontres du Travail by Jean-Luc Denny, Brigitte Pagnani, Louis Durrive

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Computational and experimental analysis of flow velocity and complex vortex formation around a group of bridge piers by Nima Ikani, Jaan H. Pu, Prashanth Reddy Hanmaiahgari, Bimlesh Kumar, Ebrahim Hamid Hussein Al-Qadami, Mohd Adib Mohammad Razi, Shu-yan Zang

“…However, the numerical results demonstrated a distinct vortex-induced flow pattern following the first pier and throughout the vicinity of the entire pier group, which aligned reasonably well with experimental data. …”
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Correlations Between Cognitive and Social Functioning of Schoolchildren: Study of Population Data Using methods of intellectual Analysis of heterogeneous Data by Leyla S. Namazova-Baranova, Georgiy A. Karkashadze, Elena A. Vishnyova, A. I. Molodchenko

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Factors motivating end-users’ behavioural intention to recommend m-health innovation: multi-group analysis by Ambrose Ogbonna Oloveze, Paschal Anayochukwu Ugwu, Raphael Valentine Obodoechi Okonkwo, Victor Chukwuemeka Okeke, Kelvin Chukwuoyims, Emmanuel Onyedikachi Ahaiwe

“…The study used descriptive statistics, structural equation model and an invariant analysis to check the difference between the groups. …”
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IMPLEMENTATION OF THE FUZZY GUSTAFSON-KESSEL METHOD ON GROUPING DISTRICTS/CITIES IN KALIMANTAN ISLAND BASED ON POVERTY ISSUES FACTORS by Yunda Sasha Paradilla, Memi Nor Hayati, Sifriyani Sifriyani

“…Cluster analysis is an analysis that is useful in summarizing data by grouping objects based on certain similarity characteristics. …”
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Preliminary analysis and exploration of big data service for agriculture,countryside and farmers by Zhongfu SUN, Jinxiang CHU, Juncheng MA, Keming DU, Feixiang ZHENG

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COOPERATIVE DEVELOPMENT STRATEGY IN EFFORTS TO INCREASE COMPETITIVENESS IN KARAWANG REGENCY (CASE STUDY ON GROUP OF NON-EMPLOYEE COOPERATIVES IN KARAWANG REGENCY) by Siti Nurdinasari, Puji Isyanto

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COOPERATIVE DEVELOPMENT STRATEGY IN EFFORTS TO INCREASE COMPETITIVENESS IN KARAWANG REGENCY (CASE STUDY ON GROUP OF NON-EMPLOYEE COOPERATIVES IN KARAWANG REGENCY) by Siti Nurdinasari, Puji Isyanto

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The differentiation of regions by means of the hierarchical method of cluster analysis and environmental data by N. A. Boyko, E. Sh. Sibukaev

“…It was fundamentally important to show the application of different methods of the hierarchical approach of cluster analysis. Using data on the state of the environment and nature management, the expediency of dividing the regions into three groups is substantiated, their comparative characteristics and recommendations for improving the sustainability of development are given. …”
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Trends and drivers of the development of local consumer services markets by A. A. Eliseeva, E. B. Dvoryadkina

“…The research is also based on the application of general scientific methods of analysis, synthesis, comparison, as well as on the application of methods of economic and statistical analysis of dynamics and groupings, analytical data processing, analogies, scientific generalizations. …”
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Control of physical conditions of students of special medical groups with disorders of the musculoskeletal system as a prerequisite for the development of programs of physical ther... by O. Z. Blavt, V. M. Koriahin, E. Yu. Doroshenko, L. I. Levchenko, S. H. Puzik, A. M. Hurieieva, O. Ye. Chernenko, M. O. Oliinyk

“…The purpose of the work is to investigate the effectiveness of the use of physical condition control of students of special medical groups for the development of physical therapy programs. …”
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Identification of small cell lung cancer patients who are at risk of developing common serious adverse event groups with machine learning by Linda Wanika, Neil D. Evans, Michael J. Chappell

“…The majority of the research that investigates the relationship between adverse events and SCLC patients, focuses on specific adverse events such as neutropenia and thrombocytopenia.Aim: This study aims to utilise machine learning in order to identify those patients who are at risk of developing common serious adverse event groups, as well as their specific adverse event classification grade.Methods: Data from five clinical trial studies were analysed and 12 analysis groups were formed based on the serious adverse event group and grade.Results: The best test runs for each of the models were able to produce an area under the curve (AUC) score of at least 0.714. …”
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Topological data analysis of human brain networks through order statistics. by Soumya Das, D Vijay Anand, Moo K Chung

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